To compare to the baselines from [1]}, we follow the hints from the official Plan2Explore's repositoryhttps://github.com/ramanans1/plan2explore and implement LBS on top of the TensorFlow2 implementationhttps://github.com/danijar/dreamerv2 [2]}. For a fair comparison, we replace the settings of the newer repository with the hyperparameters and design choices from the original paper (i.e. hidden size of the GRU of 400, gaussian latent space, latent dimensionality of 60, ...). Additionally, we normalize the LBS intrinsic motivation dividing it by a running mean estimate.
